Enhancing Trajectory Tracking in Humanoid Robots Using Neural Network-Based Dynamic Gain Control
This paper presents the development and evaluation of a dynamic gain controller utilizing neural networks to enhance trajectory tracking performance in the NAO humanoid robot. The proposed controller employs a differential kinematic model and dynamically adjusts its gains using a backpropagation alg...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ital Publication
2025-04-01
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| Series: | Emerging Science Journal |
| Subjects: | |
| Online Access: | https://ijournalse.org/index.php/ESJ/article/view/2939 |
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